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Seiford, L.M., Thrall, R.M., Recent developments in DEA:The mathematical programming approach to frontier analysis, Journal of Econometrics, 46. 7-38. 1990.

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Article

Evaluation of the Relative Efficiency of Gas Stations by Data Envelopment Analysis

1Young Researchers and Elite Club, Rasht Branch, Rasht, Iran

2Department of management, Islamic Azad University, Rasht, Iran


International Journal of Data Envelopment Analysis and *Operations Research*. 2014, Vol. 1 No. 1, 12-15
DOI: 10.12691/ijdeaor-1-1-2
Copyright © 2014 Science and Education Publishing

Cite this paper:
Roxana Asayesh, Zahra Faeghi Raad. Evaluation of the Relative Efficiency of Gas Stations by Data Envelopment Analysis. International Journal of Data Envelopment Analysis and *Operations Research*. 2014; 1(1):12-15. doi: 10.12691/ijdeaor-1-1-2.

Correspondence to: Roxana  Asayesh, Young Researchers and Elite Club, Rasht Branch, Rasht, Iran. Email: roksana.asayesh@gmail.com

Abstract

Performance measurement is an important part of management science and operation research. Data Envelopment Analysis is a powerful analytical tool that has been successfully applied for measuring and benchmarking the relative performance in a wide variety of activities. Data Envelopment Analysis assists decision makers to distinguish efficient and inefficient decision making units in a homogeneous group. Super-efficiency Data Envelopment Analysis models can be used in ranking the performance of efficient decision making units. In this paper, Data Envelopment Analysis is employed to present a mathematical model for evaluating the relative efficiency of gas stations of Iranian Oil products Company. Banker, Charnes and Cooper model is applied to determine the relative efficiency of the stations. Super efficiency model of Andersen and Petersen and Slack Based Measure of Super efficiency ranking method are used to determine the most efficient unit.

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